I am the Vice President of Supply Chain Services at ARC Advisory Group, a leading industry analyst and technology consulting company. I engage in quantitative and qualitative research on supply chain management technologies, best practices, and emerging trends.
in Orlando. 12,000 SAP customers and partners attended the event, and another 15,000 watched remotely.
The RISE with SAP offering includes an AI-powered cloud ERP that's managed and optimized by SAP. This is SAP's feature-rich private Cloud offering. SAP’s GROW offering does the same for small and mid-sized companies. This is a public Cloud solution. In Joule, Mr. Klein asserts that 80% of the most common tasks can be infused with AI. Most of the new in-context GenAI solutions have been pre-trained on 200,000 pages of SAP’s training and technical documents. The Business AI also understands the SAP canonical data. These two things mean that while the GenAI responses are not 100% accurate, no GenAI solution is, they are far more reliable than the answers people get when using GenAI on the public web.
In other use cases, customer data can either improve the training or the training might be impossible without this data. For example, when GenAI is used to write job descriptions, aggregated anonymized customer data can improve the results. However, some customers believe giving SAP permission to use their data could benefit their rivals.
All applications can have a garbage in, garbage out problem. AI can be used to improve the master data, such as finding SKUs that are most likely duplicates. It can improve the accuracy of the parameters used. For example, lead times are often set and then ignored. However, lead times can change over time. Machine learning can help detect and fix this critical parameter.
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